AI Engineer, Normal Computing

• Previous experience delivering production AI systems involving language models, preferably involving document understanding and/or agentic workflows
• Solid software engineering skills with experience in distributed systems and production-grade code
• Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers.)
• Hands-on experience with prompt engineering, fine-tuning, and deploying large language models
• Ability to wrangle, clean, and preprocess large-scale, heterogeneous datasets
• Understanding of AI safety, bias mitigation, and ethical considerations
• Ability to explain complex AI concepts to both technical and non-technical stakeholders

Desirable

• We are looking for an AI Engineer to build production systems that understand large technical documents - like chip design specifications - and turn them into code
• You'll ship real improvements to customers weekly while pushing the boundaries of what's possible in AI for hardware through reinforcement learning, agentic coding, and exceptional software engineering
• Lead end-to-end AI development from initial concept through production deployment and iteration
• Design and implement LLM-powered solutions that extract meaning from complex technical specifications
• Handle multi-modal complexity and explore multi‑agent and RL approaches for agentic code generation and tool‑use
• Design strategies to manage latency, output variance, and graceful error handling at scale
• Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform
• Guide junior engineers and establish best practices for AI development